async-python-patterns
Python asyncio and concurrent programming patterns for high-performance applications. Use when building async APIs, concurrent systems, or I/O-bound applications requiring non-blocking operations.
python-testing-patterns
Python testing patterns and best practices using pytest, mocking, and property-based testing. Use when writing unit tests, integration tests, or implementing test-driven development in Python projects.
python-performance-optimization
Python performance optimization patterns using profiling, algorithmic improvements, and acceleration techniques. Use when optimizing slow Python code, reducing memory usage, or improving application throughput and latency.
mcp-builder
Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK). | Sử dụng khi: tạo MCP server, xây dựng tool server.
backend-development
Build robust backend systems with modern technologies (Node.js, Python, Go, Rust), frameworks (NestJS, FastAPI, Django), databases (PostgreSQL, MongoDB, Redis), APIs (REST, GraphQL, gRPC), authentication (OAuth 2.1, JWT), testing strategies, security best practices (OWASP Top 10), performance optimization, scalability patterns (microservices, caching, sharding), DevOps practices (Docker, Kubernetes, CI/CD), and monitoring. Use when designing APIs, implementing authentication, optimizing database queries, setting up CI/CD pipelines, handling security vulnerabilities, building microservices, or developing production-ready backend systems. | Sử dụng khi xây dựng API, server, backend, máy chủ, xử lý dữ liệu, endpoint, microservices.
data-gouv
Skill professionnel pour Claude Code permettant d'accéder, télécharger et analyser les données ouvertes françaises via data.gouv.fr. Inclut une librairie Python complète, des exemples de code, et une documentation détaillée des datasets les plus utilisés.
code-profiler
Use when asked to profile Python code performance, identify bottlenecks, measure execution time, or analyze function call statistics.
mcp-builder
Guide for building MCP (Model Context Protocol) servers that integrate external APIs/services with LLMs. Covers Python (FastMCP) and TypeScript (MCP SDK) implementations.
dependency-analyzer
Analyze Python imports and dependencies. Use to understand project structure, find unused imports, or generate requirements.txt files.
uv
Python package manager and project tooling using uv. Use when working with Python projects, managing dependencies, creating virtual environments, running Python scripts, configuring workspaces/monorepos, or troubleshooting uv issues. Triggers on pyproject.toml projects, uv commands, pip replacement workflows, Python version management, workspace configuration, or CI/CD Python setup.
python-pypi-setup
Set up Python project for PyPI publishing with pyproject.toml, src layout, and build scripts. Use when creating a new Python package, setting up for PyPI distribution, or initializing a Python library project.
mz-configure-loki-logging
Configure Grafana Loki logging using mazza-base library for Python/Flask applications with CA certificate (Mazza-specific). Use when setting up Loki logging for Mazza projects or configuring centralized logging.
kurrentdb
Provides KurrentDB (EventStoreDB) client code for event sourcing and CQRS. Generates correct package names, connection strings, and API patterns for Python, Node.js, .NET, F#, Go, Java, Rust. Triggers on "kurrentdb", "eventstore", "event sourcing", "append events", "read stream", "subscription", "aggregate", "CQRS".
mcp-builder
Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK).
python-fastapi-ai
Python FastAPI patterns, Alembic migrations, Pydantic v2, and AI Engineering (raw patterns, LangChain, Google ADK). This skill should be used when working with Python APIs, database migrations, or AI/LLM applications.
dapr-code-generator
Generate Python boilerplate code for DAPR microservices, workflows, and actors. Creates properly structured services with DAPR SDK integration, health endpoints, logging, and best practices. Use when creating new services, adding DAPR features, or scaffolding projects.
deploy-agentcore
Deploy Python agents to AWS Bedrock AgentCore. Use when deploying agents to AWS, setting up serverless agent hosting, configuring AgentCore components (Runtime, Gateway, Memory, Identity, Policy), or troubleshooting deployment errors.
python
Default Python stack for Lambda: uv + Astral tools, typed code, schemas, and Hypothesis.
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